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A global long-term ocean surface daily/0.05° net radiation product from 1983–2020
The all-wave net radiation (R(n)) on the ocean surface characterizes the available radiative energy balance and is important to understand the Earth’s climate system. Considering the shortcomings of available ocean surface R(n) datasets (e.g., coarse spatial resolutions, discrepancy in accuracy, inc...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9198043/ http://dx.doi.org/10.1038/s41597-022-01419-x |
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author | Liang, Hui Jiang, Bo Liang, Shunlin Peng, Jianghai Li, Shaopeng Han, Jiakun Yin, Xiuwan Cheng, Jie Jia, Kun Liu, Qiang Yao, Yunjun Zhao, Xiang Zhang, Xiaotong |
author_facet | Liang, Hui Jiang, Bo Liang, Shunlin Peng, Jianghai Li, Shaopeng Han, Jiakun Yin, Xiuwan Cheng, Jie Jia, Kun Liu, Qiang Yao, Yunjun Zhao, Xiang Zhang, Xiaotong |
author_sort | Liang, Hui |
collection | PubMed |
description | The all-wave net radiation (R(n)) on the ocean surface characterizes the available radiative energy balance and is important to understand the Earth’s climate system. Considering the shortcomings of available ocean surface R(n) datasets (e.g., coarse spatial resolutions, discrepancy in accuracy, inconsistency, and short duration), a new long-term global daily R(n) product at a spatial resolution of 0.05° from 1983 to 2020, as part of the Global High Resolution Ocean Surface Energy (GHOSE) products suite, was generated in this study by fusing several existing datasets including satellite and reanalysis products based on the comprehensive in situ measurements from 68 globally distributed moored buoy sites. Evaluation against in-situ measurements shows the root mean square difference, mean bias error and correlation coefficient squared of 23.56 Wm(−2), 0.88 Wm(−2) and 0.878. The global average ocean surface R(n) over 1983–2020 is estimated to be 119.71 ± 2.78 Wm(−2) with a significant increasing rate of 0.16 Wm(−2) per year. GHOSE R(n) product can be valuable for oceanic and climatic studies. |
format | Online Article Text |
id | pubmed-9198043 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-91980432022-06-16 A global long-term ocean surface daily/0.05° net radiation product from 1983–2020 Liang, Hui Jiang, Bo Liang, Shunlin Peng, Jianghai Li, Shaopeng Han, Jiakun Yin, Xiuwan Cheng, Jie Jia, Kun Liu, Qiang Yao, Yunjun Zhao, Xiang Zhang, Xiaotong Sci Data Data Descriptor The all-wave net radiation (R(n)) on the ocean surface characterizes the available radiative energy balance and is important to understand the Earth’s climate system. Considering the shortcomings of available ocean surface R(n) datasets (e.g., coarse spatial resolutions, discrepancy in accuracy, inconsistency, and short duration), a new long-term global daily R(n) product at a spatial resolution of 0.05° from 1983 to 2020, as part of the Global High Resolution Ocean Surface Energy (GHOSE) products suite, was generated in this study by fusing several existing datasets including satellite and reanalysis products based on the comprehensive in situ measurements from 68 globally distributed moored buoy sites. Evaluation against in-situ measurements shows the root mean square difference, mean bias error and correlation coefficient squared of 23.56 Wm(−2), 0.88 Wm(−2) and 0.878. The global average ocean surface R(n) over 1983–2020 is estimated to be 119.71 ± 2.78 Wm(−2) with a significant increasing rate of 0.16 Wm(−2) per year. GHOSE R(n) product can be valuable for oceanic and climatic studies. Nature Publishing Group UK 2022-06-14 /pmc/articles/PMC9198043/ http://dx.doi.org/10.1038/s41597-022-01419-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Liang, Hui Jiang, Bo Liang, Shunlin Peng, Jianghai Li, Shaopeng Han, Jiakun Yin, Xiuwan Cheng, Jie Jia, Kun Liu, Qiang Yao, Yunjun Zhao, Xiang Zhang, Xiaotong A global long-term ocean surface daily/0.05° net radiation product from 1983–2020 |
title | A global long-term ocean surface daily/0.05° net radiation product from 1983–2020 |
title_full | A global long-term ocean surface daily/0.05° net radiation product from 1983–2020 |
title_fullStr | A global long-term ocean surface daily/0.05° net radiation product from 1983–2020 |
title_full_unstemmed | A global long-term ocean surface daily/0.05° net radiation product from 1983–2020 |
title_short | A global long-term ocean surface daily/0.05° net radiation product from 1983–2020 |
title_sort | global long-term ocean surface daily/0.05° net radiation product from 1983–2020 |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9198043/ http://dx.doi.org/10.1038/s41597-022-01419-x |
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